Triple
T6545310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yavatmal |
E150991
|
entity |
| Predicate | hasMonsoonDependentAgriculture |
P48972
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: true | Statement: [Yavatmal, hasMonsoonDependentAgriculture, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMonsoonDependentAgriculture Context triple: [Yavatmal, hasMonsoonDependentAgriculture, true]
-
A.
KhareefSeasonOccursIn
Indicates that a khareef (monsoon) season takes place within a specified geographic location or region.
-
B.
hasDrySeasonCause
Indicates that one factor or condition is the underlying cause of a location or region experiencing a dry season.
-
C.
agriculturalDependence
Indicates that one entity relies on another for agricultural resources, production, or support.
-
D.
primaryRainySeasonFor
chosen
Indicates that one entity is the main or most significant rainy season associated with a particular place or region.
-
E.
hasAgriculturalProduction
Indicates that an entity engages in or is characterized by the production of agricultural goods such as crops or livestock.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ce07332481909a5a7964282eb776 |
completed | March 27, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69c6acf3e3708190b052ec774e607cb7 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:50 p.m.